Staff Machine Learning Engineer, AI Serving
Tasks
- Benchmark end to end inference performance
- Build low latency GPU model serving system
- Create unified GPU model export framework
- Develop ML and generative AI systems on Kubernetes
- Implement routing caching and batching for inference
- Lead large scale ML inference platform design
- Monitor real time ML observability
- Optimize model inference performance
- Prototype feature hydration and processing pipeline
Perks/Benefits
- 401k employer match
- Caregiving support
- Comprehensive healthcare benefits
- Family planning support
- Flexible vacation
- Gender-affirming care
- Generous paid parental leave
- Global benefit programs
- Income replacement programs
- Mental health coaching
- Paid volunteer time off
- Professional development
- Workspace support
Skills/Tech-stack
AWS | CUDA | Cloud Storage | Feature Engineering | GPU Computing | Generative AI | Go | Google Cloud | Google Cloud Storage | Inference Pipelines | Inference Server | Kubernetes | Machine Learning | Model Serving | Observability | PyTorch | Python | Terraform | Triton Inference | Triton Inference Server | VLLM
Education
N/A
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